Studentische Hilfskraft (w/m/d) at Zuse-Institut Berlin | DE | Rezi

Studentische Hilfskraft (w/m/d) at Zuse-Institut Berlin

Studentische Hilfskraft (w/m/d)

Zuse-Institut Berlin · DE

1 months ago

Studentische Hilfskraft (w/m/d)

Zuse-Institut Berlin · DE

a month ago
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About the Role

Join our team to support innovative research projects in fields such as numerical analysis, AI, data visualization, and supercomputing. We offer a structured onboarding process to help you grow professionally and contribute to cutting-edge scientific advancements.

Responsibilities

  • Support research projects in numerical analysis and modeling
  • Contribute to visualization and data analysis tasks
  • Work on artificial intelligence initiatives
  • Assist with scientific information management
  • Participate in optimization and computer science projects
  • Engage in distributed algorithms and supercomputing research

Requirements

  • Enthusiasm for research and science
  • Knowledge in relevant subject or research areas
  • Programming skills and willingness to develop them further
  • Team spirit and creativity
  • Motivation to tackle new challenges
  • Willingness to work regularly on-site at ZIB
  • Submission of CV, certificates, transcript of records, and enrollment certificate

Skills

  • Programming
  • Numerical analysis
  • Data analysis
  • Artificial intelligence
  • Scientific computing
  • Distributed algorithms
  • Supercomputing

Location

  • Berlin, Germany

Work Type

  • Part-time
  • Hybrid

Education Level

  • Currently enrolled student

Salary/Compensations

  • 14.84 EUR per hour plus capital city allowance

Benefits

  • Flexible working hours (41 – 80 hours per month)
  • Opportunity to combine work with master or student thesis
  • International and inspiring work environment
  • Professional and personal development opportunities

About the Company

  • Zuse-Institut Berlin is an interdisciplinary research institute for applied mathematics and data-intensive high-performance computing.
  • Research focuses on modeling, simulation, and optimization in collaboration with scientific and industrial partners.

Equal Opportunity

  • The application of women is explicitly encouraged to increase their representation in natural sciences and IT.
  • We value diversity and welcome applications from individuals regardless of migration history, sexual or gender identity, social, ethnic, or religious background, or physical and mental abilities.